Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation

Background: Patients with chronic hepatitis B (CHB) with severe acute exacerbation (SAE) are at a progression stage of acute-on-chronic liver failure (ACLF) but uniform models for predicting ACLF occurrence are lacking. We aimed to present a risk prediction model to early identify the patients at a...

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Detalles Bibliográficos
Autores principales: Yu, Mingxue, Li, Xiangyong, Lu, Yaxin, Jie, Yusheng, Li, Xinhua, Shi, Xietong, Zhong, Shaolong, Wu, Yuankai, Xu, Wenli, Liu, Zifeng, Chong, Yutian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591055/
https://www.ncbi.nlm.nih.gov/pubmed/34790679
http://dx.doi.org/10.3389/fmed.2021.748915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591055/
https://www.ncbi.nlm.nih.gov/pubmed/34790679
http://dx.doi.org/10.3389/fmed.2021.748915

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